Scope of Topics
ICoDiT welcomes submissions including, but not limited to, the following areas:
- ISAI – Intelligent Systems and Artificial Intelligence for Future Innovation
This topic covers research and applications in artificial intelligence (AI), machine learning (ML), deep learning, natural language processing, computer vision, and robotics. Submissions may focus on AI-driven solutions for healthcare, education, finance, smart cities, autonomous systems, or governance. Innovative approaches that enhance decision-making, automation, and problem-solving using intelligent systems are highly encouraged.- AI algorithms and models
- Autonomous and intelligent robotics
- Computer vision and pattern recognition
- Natural language processing and conversational agents
- AI in healthcare, education, and smart governance
- DTST – Digital Transformation and Smart Technologies in Industry 4.0 / 5.0
This topic emphasizes the integration of digital technologies into industrial processes to improve productivity, efficiency, and innovation. Areas include the Internet of Things (IoT), cyber-physical systems, robotics, automation, cloud computing, edge computing, digital twins, and big data analytics. Contributions may demonstrate how smart technologies enhance operational intelligence and sustainability in manufacturing, logistics, and service industries.- Smart manufacturing and Industry 4.0/5.0 applications
- IoT-enabled systems and sensors
- Cyber-physical systems and automation
- Digital twins and predictive maintenance
- Cloud and edge computing solutions
- CPT – Cybersecurity, Privacy, and Trust in the Digital Era
This topic focuses on safeguarding information and ensuring trust in digital systems. It includes cybersecurity technologies, cryptography, privacy-preserving mechanisms, secure software and network systems, blockchain, threat detection, and ethical considerations. Papers may explore strategies to enhance security, mitigate cyber threats, and protect personal and organizational data in various sectors.- Network and system security
- Cryptography and data protection
- Blockchain and distributed ledger technologies
- Threat detection and anomaly detection
- Privacy, ethics, and governance in digital systems
- DDIA – Data-Driven Innovation and Analytics for Decision Making
This topic explores the use of big data, data mining, machine learning analytics, and predictive modeling to generate insights that support effective decision-making. Applications include business intelligence, policy-making, scientific research, and smart services. Contributions may focus on data visualization, real-time analytics, and AI-assisted decision systems.- Big data analytics and machine learning
- Predictive and prescriptive modeling
- Data-driven decision support systems
- Business intelligence and policy analytics
- Real-time and streaming data analysis
- DIES – Digital Inclusion, Ethics, and Sustainable Computing
This topic encourages research addressing the social, ethical, and sustainable aspects of computing and digital technologies. Submissions may explore inclusive design, accessibility, ethical AI, green computing, digital literacy, and technologies for social good. The focus is on ensuring digital transformation benefits all members of society responsibly.- Digital inclusion and accessibility
- Ethical AI and responsible computing
- Green computing and sustainable IT
- Digital literacy and education technologies
- ICT for social impact
- ETID – Emerging Technologies and Interdisciplinary Digital Research
This topic welcomes interdisciplinary research integrating computing with fields such as healthcare, environment, education, social sciences, and business. Contributions may showcase innovative applications, novel algorithms, or collaborative frameworks that address real-world problems using digital and intelligent technologies.- Interdisciplinary AI and computing applications
- Smart healthcare and digital health solutions
- Environmental monitoring and sustainable technologies
- Education technology and e-learning platforms
- Socio-technical systems and human-centered computing
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